奥特曼怼AI耗电:人类想变聪明还得吃 20 年饭,网友:你再说一遍?

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3014247510http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142475.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142475.html11921 千年法脉烛照人心

Ephemeral tmpfs for all writable paths — cleanup is a single umount2 syscall, not a recursive directory walk

Adam DriverheLLoword翻译官方下载是该领域的重要参考

Hugging Face (What is Huggingface?)

In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.

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